Research Resource for Complex Physiologic Signals

描述（由申请人提供）：PhysioNet成立于1999年，是NIH赞助的复杂生理信号研究资源，在生物医学数据和软件资源中取得了卓越的地位。其数据库PhysioBank是第一个，并且仍然是世界上最大，最全面和最广泛使用的随时间变化的生理信号库。它的软件集合PhysioToolkit支持对PhysioBank和类似数据的探索和定量分析，并提供了广泛的文档齐全，经过严格测试的开源软件，可以在任何平台上运行。PhysioNet的研究人员团队利用其他资助项目的成果来推动创建和丰富：“数据收集，提供越来越全面，多方面的病理生理学观点，如MIMIC II（重症监护中的多参数监测）重症监护患者数据库;“分析方法，导致更及时，更准确的诊断（如急性水肿事件的预测），并阐明与疾病和衰老有关的动态变化（如睡眠呼吸障碍综合征期间的心肺相互作用）;“用户界面、参考资料和服务，增加了PhysioNet数据和软件的价值并提高了其可访问性（如PhysioNetWorks，一个用于数据共享的虚拟实验室）。影响：PhysioNet是专家，年轻的研究人员和受训人员进行创新研究的成熟推动者和加速器，致力于独立项目和专注于生物医学工程挑战，这些挑战通过其他方式无法访问的数据成为可能。通过其PhysioNetWorks，该资源为研究人员提供了新的工具和机会，不仅可以满足NIH数据共享的要求，还可以通过可访问的、有价值的贡献来丰富数据共享。通过提供免费访问其独特和广泛的数据和软件集合，PhysioNet使研究平均每月产生70篇学术出版物（自成立以来，全球学术，临床和行业附属研究人员的研究超过5000篇）。具体目标：在未来5年，我们的目标是：1。利用新技术和数据加速PhysioNet的增长; 2.通过对复杂生理信号的有力研究计划推动相关创新; 3.激励和挑战不断增长的调查人员社区。 公共卫生相关性：PhysioNet是复杂生理信号的研究资源，拥有世界上最大、最全面、使用最广泛的时变生理信号和相关信号处理软件库，并免费提供给研究界。PhysioNet是专家和非专家的创新研究的成熟推动者和加速器，致力于独立项目和集中的工程挑战，这些挑战通过其他方式无法访问的数据成为可能。

DESCRIPTION (provided by applicant): PhysioNet, established in 1999 as the NIH-sponsored Research Resource for Complex Physiologic Signals, has attained a preeminent status among data and software resources in biomedicine. Its data archive, PhysioBank, was the first, and remains the world's largest, most comprehensive and most widely used repository of time-varying physiologic signals. Its software collection, PhysioToolkit, supports exploration and quantitative analyses of PhysioBank and similar data with a wide range of well-documented, rigorously tested, open-source software that can be run on any platform. PhysioNet's team of researchers leverages results of other funded projects to drive the creation and enrichment of: " Data collections that provide increasingly comprehensive, multifaceted views of pathophysiology over long time intervals, such as the MIMIC II (Multiparameter Monitoring in Intensive Care) Database of critical care patients; " Analytic methods that lead to more timely and accurate diagnoses (such as prediction of acute hypotensive events), and elucidation of dynamical changes associated with disease and aging (such as cardiopulmonary interactions during sleep disordered breathing syndrome); " User interfaces, reference materials and services that add value and improve accessibility to PhysioNet's data and software (such as PhysioNetWorks, a virtual laboratory for data sharing). Impact: PhysioNet is a proven enabler and accelerator of innovative research by specialists, young investigators and trainees alike, working on independent projects and focused biomedical engineering challenges made possible by data that are inaccessible otherwise. Through its PhysioNetWorks, the Resource gives researchers new tools and the opportunity not merely to meet NIH data sharing mandates, but to enrich the data commons with accessible, valuable contributions. By providing free access to its unique and wide- ranging data and software collections, PhysioNet enables studies that lead to an average of 70 scholarly publications per month (well over 5000 studies since its inception by academic, clinical, and industry-affiliated researchers worldwide. Specific aims: For the next 5 years we aim to: 1. Accelerate PhysioNet's growth with new technology and data; 2. Drive relevant innovation through a vigorous research program on complex physiologic signals; 3. Stimulate and challenge a growing community of investigators. PUBLIC HEALTH RELEVANCE: PhysioNet, the Research Resource for Complex Physiological Signals, maintains the world's largest, most comprehensive, and most widely used repository of time-varying physiological signals and associated signal-processing software, and makes them freely available to the research community. PhysioNet is a proven enabler and accelerator of innovative research by specialists and non- specialists alike, working on independent projects and focused engineering challenges made possible by data that are inaccessible otherwise.